Document Recognition & Analysis
DORA is a configurable document-recognition framework that helps organizations digitize documents, extract structured fields, review OCR results, and make document data searchable and usable in business workflows.
- OCR-enabled digitization
- Human-in-the-loop review
- Search & export
surat-contoh-0001.pdf
Recognising…
Document type
Detecting…
The document problem
PDFs and scans arrive every day. Someone still has to read them, type the values, check them and find them again later.
- 01
Read by hand
PDFs and scanned images still need a person to read them before the data can be used.
- 02
Typed again
The same values are re-entered from documents into systems, one file at a time.
- 03
OCR misreads
Text recognition can confuse characters, especially on scanned pages.
- 04
Unchecked values
Extracted data has to be validated before anyone relies on it.
- 05
Every type differs
Letters, forms and reports each follow their own layout.
- 06
Every field differs
What matters in one document type is irrelevant in the next.
- 07
Every workflow differs
Each organization reviews and approves documents by its own SOP.
- 08
Hard to find again
Filed documents and their values need to be searchable later.
What DORA is
DORA is a Framework Code Product: a reusable document-recognition core, configured to each organization’s document types, business fields, verification workflow and SOP.
DORA is not assumed to replace your ERP, DMS or main archive without an agreed integration scope.
Your configurationper organization
- Document types
- Field templates
- Extraction fields
- Verification statuses
- Confidence handling
- Search filters
- Export formats
- Roles & permissions
- Integration boundaries
DORA corereusable
- 01Document intake
- 02OCR & recognition
- 03Field extraction
- 04Verification workspace
- 05Search & export
- 06Operational dashboard
The FCP path
- 01UnderstandRequirement baseline
- 02DesignFunctional blueprint
- 03CustomizeConfigured DORA
- 04DevelopApproved extensions
- 05IntegrateIntegration specification
- 06DeployRelease & handover
How DORA works
Ten steps take a document from upload to usable data. People and system each own their part.
OCR & structured extraction
DORA turns unstructured document content into structured field data, based on the document templates configured for your organization.
01 · Document intakesurat-contoh-0001.pdf
- PDFsurat-contoh-0001.pdf Accepted
- TIFFscan-contoh-07.tiff Accepted
- JPGfoto-dokumen-03.jpg Accepted
- DOCXcatatan-contoh.docx Rejected · file type
Synthetic sample · illustrative values
Fields depend on the configured document type. Templates, required fields and confidence handling are defined during implementation.
Human-in-the-loop verification
OCR output is reviewed, not assumed correct. Every extracted field sits next to its place on the source page — checked, corrected and decided by a person.
surat-contoh-0001.pdf
Waiting verification
Document type
Official letterAuto-detected
01 / 05Open from the queue
Opened from the verification queue. Every extracted field is listed with its confidence.
Select a field — its marker shows exactly where the value sits on the page.
Document No. has lower confidence: the scan read “OO01” for “0001”. It is flagged for a closer look.
The reviewer corrects the value. It is saved and shown when the document is reopened.
A person completes verification. The final status follows your configured workflow.
Markers appear where field mapping is configured. The confidence method and review rules are agreed per implementation. · Synthetic sample, not a product screenshot
Search & export
Extracted values become searchable. Find documents by text, file name or field value, narrow them with filters, and export the result for the next step in your process.
- Full text
- File name
- Field value
- Document type
- Status
- Date range
- Configured business field
4 results
surat-contoh-0001.pdf
Official letter · 2026-10-12
Verified
Document No. 000.1/0001/CONTOH/X/2026
surat-contoh-0002.pdf
Official letter · 2026-10-13
Waiting verification
Subject Undangan Rapat Contoh
formulir-contoh-014.png
Other · 2026-10-14
Verified
Name NAMA CONTOH
laporan-unit-contoh.pdf
Other · 2026-10-15
Waiting verification
Full text …ringkasan kegiatan unit contoh…
Synthetic records · Export columns, limits and permissions are defined per implementation.
Operational dashboard
Volume, the verification queue, quality and recent documents in one view — so operations see where documents are before the queue grows.
Processed documents
128904 pages
Waiting verification
17Verified 104 · Rejected 7
Quality
91%avg. field confidence
Needs attention
17 documents waiting verification
Open the verification queue
Recent documents
- surat-contoh-0002.pdfWaitingOfficial letter · 2 pages2 pages
- formulir-contoh-014.pngVerifiedOther · 1 page1 page
- laporan-unit-contoh.pdfWaitingOther · 12 pages12 pages
Illustrative values · KPI definitions, aggregation and refresh are agreed per implementation.
Configurable document model
Each document type carries its own template — fields, required flags, validation, confidence handling, statuses, review path, search and export fields. Types are configured with you, not assumed to be prebuilt.
Field template4 fields
- Document No.RequiredRule · Pattern
- DateRequiredRule · Date format
- SubjectRequiredRule · Length
- NameOptionalRule · Text
- Statuses · Single review
- Waiting verificationVerifiedRejected— final status, as configured
- Search fields
- Document No.SubjectName
- Export fields
- File nameDocument No.DateSubjectName
Sample configurations. Document types and templates are defined with you during discovery.
Access, privacy & governance
Who can upload, correct, decide, search and export is set per role and data scope. Sensitive data is handled according to your organization’s policy.
- Access follows role and data scope.
- Field correction is limited to permitted roles.
- Verification decisions are limited to authorized roles.
- Search, preview and export follow the same scope.
Verifier / Reviewer
Reviews and corrects extracted fields, and completes verification by workflow.
Baseline access
- Verification queue
- Field correction
- Verification decision
Role baseline. Final permissions are agreed per implementation.
Privacy follows your policy
Sensitive data needs access control. Masking, retention, deletion and export rules follow your organization’s policy and applicable regulation.
Integration & enterprise fit
Designed to integrate with enterprise systems through agreed data contracts and integration boundaries.
Document repository / storage
Retrieve or store files and results.
Business application · ERP · DMS
Receive extracted fields or status.
Identity provider
Central identity and role mapping.
API consumer
Submit documents, query results or status.
Notification channel
Queue or failure notifications.
Dashed = agreed data contract · Possible boundaries, scoped per project. DORA is not assumed to replace ERP, DMS or archive systems.
Agreed before build.
- Source of truth for files, metadata and fields
- Field names, types, formats and mapping
- Authentication and authorization between systems
- Retry, timeout, duplicate and error handling
- Sync timing, monitoring, reconciliation and ownership
Why DORA
- 01
OCR-enabled digitization
Digital and scanned documents become text.
- 02
Structured field extraction
Values land in fields, by template.
- 03
Human-in-the-loop review
People check what OCR returns.
- 04
Visual verification
Each field is shown on the source page.
- 05
Searchable output
Text and field values can be found again.
- 06
CSV · Excel · JSON export
Data leaves in a usable format.
- 07
Configurable document model
Types and fields fit your documents.
- 08
FCP customization approach
A proven core, shaped to your SOP.
Request a demo
Discuss how DORA can be configured around your document types, extraction fields, verification workflow, and business process.
What happens next
- 01Discovery
- 02Blueprint
- 03Configuration & build
- 04Integration
- 05SIT & UAT
- 06Deployment & handover
Request a demo.
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